Call For Papers

Methods of analytical and stochastic modelling are widely used in engineering to assess and design various complex systems, like computer and communication networks, and manufacturing systems. The ASMTA conference is a main forum for advancing these techniques and their applications and aims to bring together researchers of academia and industry to discuss the latest developments in analytical, numerical and simulation algorithms for stochastic systems.

This year, the conference will be held as a workshop within ACM SIGMETRICS / IFIP Performance 2024.

Paper Submission Deadline: April 2 April 16 (extended), 2024
Notification of acceptance: May 6 May 13 (extended), 2024

ASMTA 2024 seeks both methodological papers that propose novel analytical and numerical solution techniques for stochastic systems, as well as application-oriented papers that apply stochastic modelling techniques to practical performance problems. The website for ASMTA 2024 will be at https://asmta.eu/. Submissions will be on easychair.

The proceedings of ASMTA 2024 will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Submissions may already be prepared in LNCS format and must not exceed 15 pages, including figures, tables, and references; see the information for authors on Springer as web site for formatting instructions (Springer).

A selection of the best papers will be invited to submit a fast-tracked extended version of their work to the Performance Evaluation (PEVA) journal

Topics of Interest

Performance-Oriented Methodologies:

  • Markov Processes
  • Queueing Systems and Networks
  • Queues in healthcare systems
  • Capacity Planning, Resource Allocation, Routing, Scheduling and Quality of Servic
  • Branching Processes and Epidemic Models
  • Game Theory and Stochastic Games
  • Reliability Theory
  • (Computationally intensive) Statistical Methods
  • Stochastic Control, Decision Processes and Optimization
  • Approximations, Bounds and Limits of Stochastic Models
  • Reinforcement Learning Techniques for Dynamic Resource Allocation
  • Fluid and Diffusion Limits
  • Random Graphs

Envisaged Application Areas:

  • Complex Systems
  • Computer and Information Systems
  • Workflow Management Systems
  • Communication Systems and Networks
  • Wireless and Mobile Systems and Networks
  • Peer-to-Peer Applications and Services
  • Embedded Systems and Sensor Networks
  • Storage Systems, Data Centers, Content Delivery, Cloud/Fog/Edge/… Computing and Virtualisation
  • Workload Modelling and Characterization
  • Road Traffic and Transportation
  • Social Networks
  • Modeling of Virtualisation
  • Energy-Aware Optimisation
  • Stochastic Modelling for Systems Biology
  • Biologically Inspired Network Design
  • Artificial Intelligence and Machine Learning Platforms
  • Blockchains and Crypto-Currency
  • Network Economics and Platform Designs
  • Matching Systems and Sharing Economy